Recorded sessions
Watch our previous technical deep dive sessions to learn from real-world implementations:Fine-tuning LFM2-VL for image classification
November 6, 2025 — Learn how to fine-tune LFM2-VL models for custom image classification tasks, including dataset preparation, training strategies, and deployment.
Building a 100% local audio-to-speech CLI with LFM2-Audio
November 27, 2025 — Build a completely local audio transcription CLI tool using LFM2-Audio models without any cloud dependencies.
Fine-tuning LFM2-350M for browser control with GRPO and OpenEnv
December 26, 2025 — Advanced reinforcement learning session on training browser control agents using Group Relative Policy Optimization.
Local video-captioning with LFM2.5-VL-1.6B and WebGPU
January 22, 2026 — Implement real-time video captioning running entirely in the browser using WebGPU for hardware acceleration.
What to expect
Each technical deep dive session includes:Live coding
Watch as we build real projects from scratch with step-by-step explanations
Best practices
Learn recommended approaches for fine-tuning, deployment, and optimization
Q&A sessions
Get your questions answered by the Liquid AI team and community experts
Code samples
Access the complete code and resources used in each session
Topics covered
Our technical deep dives cover a wide range of advanced topics:- Fine-tuning techniques — Supervised fine-tuning, GRPO, DPO, and LoRA
- Vision-language models — Image classification, object detection, video understanding
- Audio models — Transcription, speech recognition, audio processing
- Deployment strategies — Browser-based deployment, mobile optimization, edge devices
- Advanced architectures — Mixture of agents, agentic workflows, tool calling
- Performance optimization — Quantization, caching, hardware acceleration
Join live events
Want to attend the next technical deep dive session live?Join #live-events on Discord
Head to the #live-events channel on our Discord server to get notified about upcoming sessions, ask questions during live streams, and connect with other developers.
- Ask questions in real-time
- Influence the direction of the session
- Network with other developers
- Get early access to new features and techniques
Request a topic
Have a topic you’d like us to cover in a future technical deep dive? Let us know!Join Discord
Join our Discord community if you haven’t already
Share your idea
Post your topic suggestion in the #live-events channel with details about what you’d like to learn
Additional resources
Complement your learning from technical deep dives with these resources:Community projects
Explore real-world projects built by the community
Deployment options
Learn about different ways to deploy LFM models
Fine-tuning guide
Master fine-tuning techniques for custom use cases
Official docs
Read the complete Liquid AI documentation